DocumentCode :
2751367
Title :
A system scheme of 3D object reconstruction from single 2D graphics based on neural networks
Author :
Sun, Guangmin ; Xu, Lei ; Chen, Deming ; Li, Gang ; Wang, Jing
Author_Institution :
Dept. of Electron. Eng., Beijing Univ. of Technol., Beijing
fYear :
2008
fDate :
13-16 July 2008
Firstpage :
1081
Lastpage :
1085
Abstract :
3D reconstruction has turned out to be a significant need in computer aided design (CAD) technology. With the rapid development of virtual reality and industry design, more and more 3D models are required in practical needs. So an artificial neural network based system scheme is presented in this paper, which can be used in 3D object reconstruction from single 2D image. BP neural network (BP NN) is applied in our system due to its non-linear mapping and self-adaptive ability. The 3D objects are represented by Open Inventor, which is a 3D software development kit based on OpenGL. Experimental results show that neural network is a promising approach for reconstruction and representation of 3D objects.
Keywords :
CAD; backpropagation; computer graphics; image reconstruction; neural nets; software engineering; virtual reality; 3D object reconstruction; 3D software development; BP neural network; CAD; OpenGL; computer aided design; neural network based system scheme; nonlinear mapping; rapid development; self-adaptive ability; single 2D graphics; virtual reality; Artificial neural networks; Design automation; Design engineering; Flowcharts; Graphics; Image processing; Image reconstruction; Libraries; Neural networks; Rendering (computer graphics); 3D reconstruction; BP neural network; CAD; Open Inventor; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Informatics, 2008. INDIN 2008. 6th IEEE International Conference on
Conference_Location :
Daejeon
ISSN :
1935-4576
Print_ISBN :
978-1-4244-2170-1
Electronic_ISBN :
1935-4576
Type :
conf
DOI :
10.1109/INDIN.2008.4618263
Filename :
4618263
Link To Document :
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